Search alternatives:
significant predicted » significantly predicted (Expand Search), significant predictor (Expand Search), significant predictors (Expand Search)
smaller decrease » marked decrease (Expand Search), smaller areas (Expand Search), larger decrease (Expand Search)
predicted based » prediction based (Expand Search), predictions based (Expand Search), predicted values (Expand Search)
significant predicted » significantly predicted (Expand Search), significant predictor (Expand Search), significant predictors (Expand Search)
smaller decrease » marked decrease (Expand Search), smaller areas (Expand Search), larger decrease (Expand Search)
predicted based » prediction based (Expand Search), predictions based (Expand Search), predicted values (Expand Search)
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Random Forest based prediction process.
Published 2025“…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …”
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The relationships among tumor size, imaging parameters, and RNA expression.
Published 2021Subjects: -
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Display of significance test results.
Published 2025“…In this study, the trend prediction model for the experimental process of fabric tear performance testing (BLTT-FT) based on the “bidirectional long- and short-term attention mechanism” is adopted. …”
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Comparison of proposed BSFR model based IHCM’ PCEs with that predicted based on IHCM.
Published 2024Subjects: -
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Correlation heatmap with significance.
Published 2025“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”
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Image 1_Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods.tif
Published 2024“…Objectives<p>to construct a prediction model for clinically significant prostate cancer (csPCa) based on prostate-specific antigen (PSA) levels, digital rectal examination (DRE), and transrectal ultrasonography (TRUS).…”
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Moderate increases to viral infectivity are not predicted to significantly impact immunological outcomes.
Published 2021“…The resulting model dynamics for viral load, inflammatory macrophages, CD8<sup>+</sup> T cells, unbound IL-6 and unbound IFN were compared, and no significant changes in kinetics were predicted.</p>…”